Evidence map›Paper›PMID 39361113›Full record

ArticleBiomechanics and modeling in mechanobiology2025

Assessing post-TAVR cardiac conduction abnormalities risk using an electromechanically coupled beating heart.

Symon Reza, Brandon Kovarovic, Danny Bluestein

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Frontiers in bioengineering and biotechnology · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Symon RezaDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8084, USA.
Brandon KovarovicDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8084, USA.
Danny BluesteinDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, 11794-8084, USA. danny.bluestein@stonybrook.edu.

Funding

Biomechanical Approaches and Technologies for Enhancing TAVR OutcomesU01EB026414 · NIBIB · STATE UNIVERSITY NEW YORK STONY BROOK · PI BLUESTEIN, DANNY · 2018 to 2022
$3.8M
NIBIB NIH HHS U01 EB026414NIBIB NIH HHS U01EB026414
6 · The paper itself

Abstract

Transcatheter aortic valve replacement (TAVR) has rapidly displaced surgical aortic valve replacement (SAVR). However, certain post-TAVR complications persist, with cardiac conduction abnormalities (CCA) being one of the major ones. The elevated pressure exerted by the TAVR stent onto the conduction fibers situated between the aortic annulus and the His bundle, in proximity to the atrioventricular (AV) node, may disrupt the cardiac conduction leading to the emergence of CCA. In this study, an in silico framework was developed to assess the CCA risk, incorporating the effect of a dynamic beating heart and preprocedural parameters such as implantation depth and preexisting cardiac asynchrony in the new onset of post-TAVR CCA. A self-expandable TAVR device deployment was simulated inside an electromechanically coupled beating heart model in five patient scenarios, including three implantation depths and two preexisting cardiac asynchronies: (i) a right bundle branch block (RBBB) and (ii) a left bundle branch block (LBBB). Subsequently, several biomechanical parameters were analyzed to assess the post-TAVR CCA risk. The results manifested a lower cumulative contact pressure on the conduction fibers following TAVR for aortic deployment (0.018 MPa) compared to nominal condition (0.29 MPa) and ventricular deployment (0.52 MPa). Notably, the preexisting RBBB demonstrated a higher cumulative contact pressure (0.34 MPa) compared to the nominal condition and preexisting LBBB (0.25 MPa). Deeper implantation and preexisting RBBB cause higher stresses and contact pressure on the conduction fibers leading to an increased risk of post-TAVR CCA. Conversely, implantation above the MS landmark and preexisting LBBB reduces the risk.

Indexed as

Heart Conduction SystemTranscatheter Aortic Valve ReplacementBiomechanical PhenomenaComputer SimulationHumansModels, CardiovascularPressureRisk AssessmentRisk FactorsCCAConduction abnormalityFEALiving heart modelPPITAVR

Identifiers

PMID39361113
PMCPMC12083778

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.